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Marta - my first lab with my answers #625

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100 changes: 99 additions & 1 deletion lab-python-data-structures.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -50,6 +50,104 @@
"\n",
"Solve the exercise by implementing the steps using the Python concepts of lists, dictionaries, sets, and basic input/output operations. "
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdin",
"output_type": "stream",
"text": [
"Enter the quantity available of t-shirt please: 50\n",
"Enter the quantity available of mug please: 50\n",
"Enter the quantity available of hat please: 60\n",
"Enter the quantity available of book please: 40\n",
"Enter the quantity available of keychain please: 30\n"
]
}
],
"source": [
"products = [\"t-shirt\", \"mug\", \"hat\", \"book\", \"keychain\"]\n",
"inventory = {}\n",
"\n",
"for product in products:\n",
" quantity = int(input(f\"Enter the quantity available of {product} please: \"))\n",
" inventory[product] = quantity"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['t-shirt', 'mug', 'hat', 'book', 'keychain']\n"
]
},
{
"name": "stdin",
"output_type": "stream",
"text": [
"Please enter a product out of the previous list: book\n",
"Please enter a product out of the previous list: hat\n",
"Please enter a product out of the previous list: mug\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'hat', 'book', 'mug'}\n",
"3\n",
"Order Statistics:\n",
"Total Products Ordered: 3\n",
"Percentage of Products Ordered: 60.0%\n",
"t-shirt: 49\n",
"mug: 49\n",
"hat: 59\n",
"book: 39\n",
"keychain: 29\n"
]
}
],
"source": [
"customer_orders = set()\n",
"print(products)\n",
"\n",
"for i in range(3):\n",
" products_ordered = input('Please enter a product out of the previous list: ')\n",
" customer_orders.add(products_ordered) \n",
" \n",
"print(customer_orders)\n",
"total_products_ordered = len(customer_orders) \n",
"print(total_products_ordered) \n",
"\n",
"float_products_ordered = float(total_products_ordered)\n",
"porcentage_ordered = float_products_ordered/5*100\n",
"order_status = (total_products_ordered, porcentage_ordered)\n",
"\n",
"print('Order Statistics:')\n",
"print(f'Total Products Ordered: {total_products_ordered}') \n",
"print(f'Percentage of Products Ordered: {porcentage_ordered}%')\n",
"\n",
"for product_name in inventory:\n",
" inventory[product_name] -= 1\n",
"\n",
"for product_name, quantity in inventory.items():\n",
" print(f\"{product_name}: {quantity}\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
Expand All @@ -68,7 +166,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
"version": "3.13.5"
}
},
"nbformat": 4,
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